PLEASE: The Python Low-energy Electron Analysis SuitE – Enabling Rapid Analysis of LEEM and LEED Data | Zendy

Maxwell Grady | Zendy; Zhongwei Dai | Zendy; Karsten Pohl | Zendy

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PLEASE: The Python Low-energy Electron Analysis SuitE – Enabling Rapid Analysis of LEEM and LEED Data

Author(s) -

Maxwell Grady,

Zhongwei Dai,

Karsten Pohl

Publication year - 2018

Publication title -

journal of open research software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.385

H-Index - 6

ISSN - 2049-9647

DOI - 10.5334/jors.191

Subject(s) - python (programming language) , low energy electron microscopy , suite , visualization , graphical user interface , low energy electron diffraction , physics , computer science , computer graphics (images) , electron microscope , electron diffraction , optics , diffraction , data mining , geography , operating system , archaeology

PLEASE, the Python Low-energy Electron Analysis SuitE, provides an open source and cross-platform graphical user interface (GUI) for rapid analysis and visualization of low energy electron microscopy (LEEM) data sets. LEEM and the associated technique, selected area micro-spot low energy electron diffraction (μ-LEED), are powerful tools for analysis of the surface structure for many novel materials. Specifically, these tools are uniquely suited for the characterization of two-dimensional materials. PLEASE offers a user-friendly point-and-click method for extracting intensity-voltage curves from LEEM and LEED data sets. Analysis of these curves provides insight into the atomic structure of the target material surface with unparalleled resolution.

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